Senior Data Analyst

In this position, you will be working and collaborating with data scientists, backend engineers, researchers, product engineers and business teams in a cross‑functional setting. Your core functions as a Senior Data Analyst are to interpret complex data, provide actionable insights to drive business decisions. Responsibilities include data collection, statistical analysis, and reporting, ensuring data integrity, and developing data‑driven strategies.

• Collaborate with a cross‑functional team of engineers, data scientists, business teams and product managers to implement technical solutions that meet business needs and ensure robustness, scalability, and reliability.
• Analyze and interpret complex data sets using statistical techniques and provide stakeholder insights.
• Design and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Identify trends and patterns in complex data sets and provide actionable recommendations to stakeholders.
• Create and maintain dashboards and visualizations for data‑driven decision‑making.
• Work closely with cross‑functional teams to identify and solve complex business problems using data analysis.
• Participate in technical interviews to evaluate candidates’ technical skills.
• Stay up to date with the latest industry trends and advancements in predictive analytics, ensuring capabilities remain competitive and cutting‑edge.
• Point out areas of opportunity and guide teams in designing complex features.
• Mentor junior analysts and foster a collaborative development environment.

• A bachelor's or master's degree in a related field, such as data science, computer science, statistics, or mathematics.
• At least 5 years of experience in product analysis and manipulation, preferably in a senior or lead role.
• Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI.
• Excellent analytical and problem‑solving skills, with the ability to extract insights from complex and large data sets.
• Effective communication skills, with the ability to clearly explain insights and recommendations to non‑technical stakeholders.
• Strong attention to detail and accuracy, with the ability to identify and correct errors in data.
• Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast‑paced environment.
• Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross‑functional team.

• Demonstrated causal analytics skills or full understanding of causality.
• Good set of data engineering skills or familiarity with data processing pipelines.
• Proven experience in food or parcel delivery services.
• Experience with modeling, analyzing, and explaining unit economics at the transaction level, and aggregating it reliably across time, cohorts, and dimensions.
• Familiarity with machine learning algorithms and techniques, and experience in implementing predictive models.

• Global Vibes – collaborate with a worldwide crew.
• Brain Boosters – learning budgets, access to courses, and tools for your growth.
• Builder’s Playground – own your tasks, own your path! We’re big on autonomy.
• Flexible Time Off – generous leave and wellness policies.
• Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.